Automatic Digital Tutorial Generation System
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Solution Overview
Problem
Conventional digital tutorial generation techniques require significant user intervention and are inefficient, especially for complex applications with numerous features, as they demand manual textual descriptions of tutorial steps, which can lead to inaccuracies and user frustration.
Innovation Solution
A digital tutorial generation system that automatically generates tutorials by monitoring user interactions with applications, using audio data and history data to identify tutorial steps and synchronize audio segments, allowing for the creation of tutorials without the need for manual textual descriptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional techniques use manual textual descriptions for tutorial generation, then tutorial accuracy can be maintained, but user effort and time consumption increase significantly
Solution Approach 1:
The system enables automatic tutorial generation by capturing user interactions and audio data, then automatically processing this data through step identification, audio segmentation, and synchronization modules to create tutorials without requiring manual textual description from users
Solution Approach 2:
The patent replaces the mechanical process of manual text typing and editing with an automated system that captures user actions and audio, then uses processing modules to generate tutorial content automatically, substituting human manual work with automated computational processes
2Adaptability or versatility
If integrated help manuals are used, then application functionality can be documented, but the scope is limited to scenarios envisioned by the developer and keyword searches are inaccurate
Solution Approach 1:
The system allows users to independently create tutorials for any application features they encounter by capturing their actual interactions, eliminating the need for pre-defined help manual scenarios and enabling documentation of emerging or undocumented features
Solution Approach 2:
Instead of requiring users to search for features in pre-written help manuals using keywords, the system inverts the approach by automatically generating tutorials that demonstrate features based on captured user interactions and audio descriptions
3Loss of information
If conventional tutorials use text output, then instructional information can be provided, but user experience degrades due to requiring attention to alternate between text and application interaction
Solution Approach 1:
The system merges the tutorial presentation directly into the application interface by overlaying audio instructions and visual indicators on top of the active application, allowing users to receive guidance without switching contexts or dividing attention between separate text and application windows
Solution Approach 2:
The patent replaces static text-based tutorial delivery with dynamic audio-based instruction delivery that can be overlaid on the application interface, substituting the mechanical act of reading and switching windows with immersive audio guidance
4Adaptability or versatility
If applications support tens of thousands of features, then functionality expands, but complexity increases making user interaction difficult without specialized knowledge
Solution Approach 1:
The system enables users to create their own contextual tutorials for complex features they encounter, allowing them to document and learn about sophisticated functionality on-demand without requiring prior specialized knowledge of the entire application
Data Source
AI summary
Digital tutorial generation techniques and systems are described in which a digital tutorial is generated automatically and without user intervention. History data is generated describing a sequence of user inputs provided as part of user interaction with an application and audio data is received capturing user utterances, e.g., speech, from a microphone of the computing device. A step-identification module of the tutorial generation system identifies a plurality of tutorial steps based on a sequence of user inputs described by the history data. A segmentation module of the tutorial generation system then generates a plurality of audio segments from the audio data corresponding to respective ones of the plurality of tutorial steps. The digital tutorial is then generated by a synchronization module of the tutorial generation system by synchronizing the plurality of audio segments as part of the plurality of tutorial steps, which is then output.